Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2007/paper/main/570> ?p ?o. }
Showing items 1 to 11 of
11
with 100 items per page.
- 570 creator abhinandan-das.
- 570 creator ashutosh-garg.
- 570 creator mayur-datar.
- 570 creator shyam-rajaram.
- 570 type InProceedings.
- 570 label "Google News Personalization: Scalable Online Collaborative Filtering".
- 570 sameAs 570.
- 570 abstract "Several approaches to collaborative filtering have been studied but seldom have the studies been reported for large (several millions of users and items) and dynamic (the underlying item set is continually changing) settings. In this paper we describe our approach to collaborative filtering for generating personalized recommendations for users of Google News. We generate recommendations using three approaches: collaborative filtering using MinHash clustering, Probabilistic Latent Semantic Indexing (PLSI), and covisitation counts. We combine recommendations from different algorithms using a linear model. Our approach is content agnostic and consequently domain independent, making it easily adaptible for other applications and languages with minimal effort. This paper will describe our algorithms and system setup in detail, and report results of running the recommendations engine on Google News.".
- 570 hasAuthorList authorList.
- 570 isPartOf proceedings.
- 570 title "Google News Personalization: Scalable Online Collaborative Filtering".